Deepnote Blog

A new kind of a data science notebook

Jakub Jurových in Deepnote

Feb 6, 2020

Deepnote Emerges from Stealth: With YC, Index, and Accel Leading Our Seed Round

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Elizabeth Dlha in Deepnote

Jan 25, 2021

Data science notebooks | 2020 Review

Digging into the data to learn more about key trends in Jupyter…

1 response

Jan Matas in Deepnote

May 4, 2021

Survey of storage in data science notebook platforms in 2021

Simon Sotak in Deepnote

Feb 16, 2021

Reactive notebooks in Deepnote

Introducing reactivity and how it solves the main challenges of data…

Jakub Jurových in Deepnote

Dec 31, 2020

Deepnote 2020: The Year in Review

We are building a new computational medium for data science. This is…

Filip Stollar in Deepnote

Feb 25, 2021

Building a design system at a startup

How to build a design system at a fast-moving startup and still…

1 response

Elizabeth Dlha in Deepnote

Nov 24, 2020

Embracing collaboration in Jupyter notebooks

Data science is a team discipline, but, ironically, data…

Jakub Jurových in Deepnote

Jun 14, 2021

Data science beyond data science teams

Two years ago, we started Deepnote to build the best data science notebook. We wanted to…

Elizabeth Dlha in Deepnote

Nov 2, 2021

Bringing analytics to Notion with Deepnote

How to build charts over Notion databases and keep your…

2 responses

Elizabeth Dlha in Deepnote

Dec 7, 2020

Hacking productivity in data science notebooks

The tools we use don’t just influence how fast we work…

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Deepnote

Deepnote is a notebook that brings teams together to explore, analyze and present data from start to finish. Jupyter-compatible with real-time collaboration, in the cloud.

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